Estimating SARS-CoV-2 Seroprevalence in Canadian Blood Donors, April 2020 to March 2021: Improving Accuracy with Multiple Assays

Author:

Tuite Ashleigh R.12,Fisman David1,Abe Kento T.34,Rathod Bhavisha3,Pasculescu Adrian3,Colwill Karen3,Gingras Anne-Claude34,Yi Qi-Long56,O’Brien Sheila F.56,Drews Steven J.78ORCID

Affiliation:

1. Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada

2. Centre for Immunization Readiness, Public Health Agency of Canada, Ottawa, Ontario, Canada

3. Lunenfeld-Tanenbaum Research Institute at Mt. Sinai Hospital, Sinai Health, Toronto, Ontario, Canada

4. Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada

5. Epidemiology and Surveillance, Canadian Blood Services, Ottawa, Ontario, Canada

6. School of Epidemiology and Public Health, University of Ottawa, Ottawa, Ontario, Canada

7. Canadian Blood Services, Microbiology, Edmonton, Alberta, Canada

8. Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton, Alberta, Canada

Abstract

Here, we describe an approach to estimating seroprevalence in a low prevalence setting when multiple assays are available and yet no known gold standard exists. Because serological studies identify cases through both diagnostic testing and surveillance, and otherwise silent, unrecognized infections, serological data can be used to estimate the true infection fatality ratio of a disease.

Funder

Abbott | Abbott Diagnostics

Alberta Innovates

Gouvernement du Canada | Canadian Institutes of Health Research

Publisher

American Society for Microbiology

Subject

Infectious Diseases,Cell Biology,Microbiology (medical),Genetics,General Immunology and Microbiology,Ecology,Physiology

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